Life Cycle Cost Analysis

WOBO and it’s members recognise the benefits from a BIM-based approach applied within the development process.

The final version of our latest article titled “BIM-based approach to conduct Life Cycle Cost Analysis of resilient buildings at the conceptual stage” is now available online in the Journal of “Automation in Construction” at the following link:
https://lnkd.in/ek6NieY

This study aims to support the design of resilient buildings using a sound LCC methodology in the preliminary design stage and to integrate LCC capabilities directly into BIM and increase the economical relevance and scientific robustness of LCC indicators towards better LCC cost optimization. The plugin, which is developed in the BIM tool is represented to use cost and resiliency factors to predict the whole process cost of building projects to assist designers in selecting a cost-efficient and resilient design option.

Thanks to all co-authors for their collaboration especially the first author Mr. Mohammad Amin Hamedi Rad for his hard work in developing such a novel integrated BIM-LCCA application.

https://www.sciencedirect.com/science/article/abs/pii/S0926580520310608

All costs within the life cycle of a building are known as its life cycle cost (LCC). In the design process of a building, the use of a lower initial cost index to select an option among others with similar performance may not lead to an economically optimal alternative during the life cycle. Hence, today, building designers and investors require a tool to estimate life cycle cost at the conceptual design stage to select an economically efficient option. Resilient solutions generally lead to a higher level of complexity and upfront costs and carry additional embodied environmental impact as well. This study aims to support the design of resilient buildings using a sound LCC methodology in the preliminary design stage. The research aims to integrate LCC capabilities directly into a Building Information Model (BIM) and increase the economical relevance and scientific robustness of LCC indicators towards better LCC cost optimization.

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